Research Article Analytic Hierarchy Process (AHP) for a Landfill Site Selection in Chachapoyas and Huancas (NW Peru): Modeling in a GIS-RS Environment Jhonsy O. Silva L ´ opez , Rolando Salas L ´ opez , Nilton B. Rojas Briceño , Darwin G ´ omez Fern´ andez , Renzo E. Terrones Murga , Daniel Iliqu´ ın Trigoso , Elgar Barboza Castillo , Manuel Oliva Cruz , and Miguel ´ Angel Barrena Gurbill ´ on Instituto de Investigaci´ on para el Desarrollo Sustentable de Ceja de Selva (INDES-CES), Universidad Nacional Toribio Rodr´ ıguez de Mendoza de Amazonas (UNTRM), Chachapoyas 01001, Peru CorrespondenceshouldbeaddressedtoJhonsyO.SilvaL´ opez;jhonsy.silva@untrm.edu.peandNiltonB.RojasBriceño;nrojas@ indes-ces.edu.pe Received 7 October 2021; Revised 11 December 2021; Accepted 21 December 2021; Published 17 January 2022 Academic Editor: Xueping Fan Copyright©2022JhonsyO.SilvaL´ opezetal.isisanopenaccessarticledistributedundertheCreativeCommonsAttribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. e evaluation of suitable landﬁll sites is a complex process and requires various legislative, technical, social, and environmental criteria. erefore, this study provides a management tool for identifying suitable sites for landﬁlls through the integrated use of the analytic hierarchy process (AHP), geographic information systems (GISs), and remote sensing (RS). Accordingly, fourteen subcriteria were identiﬁed and grouped into physical (7), environmental (3), and socioeconomic (4) criteria and were weighed using pairwise comparison matrices (PCMs). e weighted linear combination (WLC) approach of maps allowed us to generate modelsandsubmodelsoflandsuitability.FromtheterritoryofthedistrictsofChachapoyasandHuancas,0.9%(1.71km 2 ),71.1% (141.89km 2 ), 21.0% (41.86km 2 ), 0.0%, and 7.7% (14.21km 2 ) have highly suitable, moderately suitable, marginally suitable, unsuitable, and restricted conditions, respectively, for a landﬁll site. Twelve highly suitable sites were identiﬁed, of which three were selected based on their shape and the minimum area required for the operation of the landﬁll until 2040. In fact, this study proposes a management tool for decision-makers (DMs) that improve the process of selecting landﬁll sites, supported by engineering and its applications for territorial sustainability. 1. Introduction e generation of large volumes of solid waste is linked to the exponential demand for food, urbanization, and global overpopulation [1]. It is expected that in the following 30 years, the generation of solid waste will increase by 70% [2]. erefore, this is a global environmental problem and ad- equately addressing, managing, and disposing of this waste pose enormous challenges [3–5]. In this context, solid waste management plays a vital role in urban planning [6, 7]; in developingcountries,themosteconomicaltechniqueforthe ﬁnal disposal of solid waste is landﬁlls [8, 9]. Namely, 54.4% of the population in Latin America and the Caribbean disposeoftheirwasteinlandﬁllsites[10].InPeru,in2018,7 342 713 tons of municipal solid waste (MSW) were gen- erated, of which only 1.05% were revalued, and only 49.16% were disposed of in authorized ﬁnal disposal infrastructure (FDI) [11]. In particular, in Peru (for more than 32 million inhabitants), there are only 58 FDIs (6 secure landﬁlls, 49 landﬁlls,and3mixedlandﬁlls)andarelocatedinonly19/25 regions [12]. Currently, the best and common technique for the ﬁnal disposal of solid waste is the establishment of landﬁlls [13–15]. However, determining the location of a landﬁll is a highly complex and tedious task, mainly because there are many factors and strict regulations involved in the selection Hindawi Advances in Civil Engineering Volume 2022, Article ID 9733322, 15 pages https://doi.org/10.1155/2022/9733322